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audience measurement · cross-media analytics

Full Stack Developer (AI & Data Visualization Focus)

IndiaPosted 2 months ago
Software engineeringJuniorFull Time; Regular
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In this role at Nielsen, you will be involved in the end-to-end development of scalable full-stack applications. Your responsibilities will include: - Designing, developing, and maintaining applications using Python (Django/Flask/FastAPI) and modern front-end frameworks (e.g., React, Vue, or Angular). - Building and optimizing RESTful APIs and microservices to connect data layers with user-facing applications. - Developing and managing workflows/pipelines to extract data from cloud tables (SQL, Spark) and integrating them into application features. - Leveraging AI techniques to build "intelligent" features, such as automated summaries, predictive text, or smart search within applications. - Integrating Tableau dashboards or custom JavaScript libraries (D3.js, Chart.js) into applications for interactive insights. - Designing and maintaining efficient database schemas and handling ETL processes for application performance. - Staying updated on emerging full-stack, visualization, and AI tools to optimize the software development life cycle (SDLC). - Supporting ad-hoc requests and translating technical architecture into laymans terms for business stakeholders. Qualifications required for this role include: - Education: Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related technical field. - Experience: 2+ years of experience in Full Stack development, with expertise in Python, SQL, and JavaScript. - Back-end Expertise: Proficiency in Node.js or Python-based frameworks, and experience with PySpark for large-scale data processing. - Front-end Expertise: Strong command of HTML5, CSS3, and modern JavaScript frameworks for responsive user interfaces. - AI Mastery: Deep understanding of AI prompting techniques and experience integrating LLMs or machine learning models. - Cloud & Data: Hands-on experience with AWS or GCP, and solid understanding of data warehousing and ETL concepts. - Visualization: Extensive knowledge of Tableau and embedding complex visualizations into custom web environments. - Soft Skills: Excellent communication skills, strategic thinking, and ability to work independently or collaboratively to solve complex problems. In addition, you will work in a challenging environment with opportunities for continuous growth in AI and Software Engineering. You will also have the chance to contribute to building the tools that power the world's leading media measurement company. In this role at Nielsen, you will be involved in the end-to-end development of scalable full-stack applications. Your responsibilities will include: - Designing, developing, and maintaining applications using Python (Django/Flask/FastAPI) and modern front-end frameworks (e.g., React, Vue, or Angular). - Building and optimizing RESTful APIs and microservices to connect data layers with user-facing applications. - Developing and managing workflows/pipelines to extract data from cloud tables (SQL, Spark) and integrating them into application features. - Leveraging AI techniques to build "intelligent" features, such as automated summaries, predictive text, or smart search within applications. - Integrating Tableau dashboards or custom JavaScript libraries (D3.js, Chart.js) into applications for interactive insights. - Designing and maintaining efficient database schemas and handling ETL processes for application performance. - Staying updated on emerging full-stack, visualization, and AI tools to optimize the software development life cycle (SDLC). - Supporting ad-hoc requests and translating technical architecture into laymans terms for business stakeholders. Qualifications required for this role include: - Education: Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related technical field. - Experience: 2+ years of experience in Full Stack development, with expertise in Python, SQL, and JavaScript. - Back-end Expertise: Proficiency in Node.js or Python-based frameworks, and experience with PySpark for large-scale data processing. - Front-end Expertise: Strong command of HTML5, CSS3, and modern JavaScript frameworks for responsive user interfaces. - AI Mastery: Deep understanding of AI prompting techniques and experience integrating LLMs or machine learning models. - Cloud & Data: Hands-on experience with AWS or GCP, and solid understanding of data warehousing and ETL concepts. - Visualization: Extensive knowledge of Tableau and embedding complex visualizations into custom web environments. - Soft Skills: Excellent communication skills, strategic thinking, and ability to work independently or collaboratively to solve complex problems. In addition, you will work in a challenging environment with opportunities for continuous growth in AI and Software Engineering. You will also have the chance to contribute to building the tools that power the world's leading media measurement company.

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